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Showing 1 to 12 of 21 entries
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Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci.

Neurology. Genetics

Chan G, White CC, Winn PA, Cimpean M, Replogle JM, Glick LR, Cuerdon NE, Ryan KJ, Johnson KA, Schneider JA, Bennett DA, Chibnik LB, Sperling RA, De Jager PL, Bradshaw EM.
PMID: 27504496
Neurol Genet. 2016 Jul 26;2(4):e90. doi: 10.1212/NXG.0000000000000090. eCollection 2016 Aug.

OBJECTIVE: Given evidence from genetic studies, we hypothesized that there may be a shared component to the role of myeloid function in Parkinson and Alzheimer disease (PD and AD) and assessed whether PD susceptibility variants influenced protein expression of...

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Chan G, White CC, Winn PA, et al. Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurol Genet. 2016;2(4):e90doi: 10.1212/NXG.0000000000000090.
Chan, G., White, C. C., Winn, P. A., Cimpean, M., Replogle, J. M., Glick, L. R., Cuerdon, N. E., Ryan, K. J., Johnson, K. A., Schneider, J. A., Bennett, D. A., Chibnik, L. B., Sperling, R. A., De Jager, P. L., & Bradshaw, E. M. (2016). Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurology. Genetics, 2(4), e90. https://doi.org/10.1212/NXG.0000000000000090
Chan, Gail, et al. "Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci." Neurology. Genetics vol. 2,4 (2016): e90. doi: https://doi.org/10.1212/NXG.0000000000000090
Chan G, White CC, Winn PA, Cimpean M, Replogle JM, Glick LR, Cuerdon NE, Ryan KJ, Johnson KA, Schneider JA, Bennett DA, Chibnik LB, Sperling RA, De Jager PL, Bradshaw EM. Trans-pQTL study identifies immune crosstalk between Parkinson and Alzheimer loci. Neurol Genet. 2016 Jul 26;2(4):e90. doi: 10.1212/NXG.0000000000000090. eCollection 2016 Aug. PMID: 27504496; PMCID: PMC4962525.
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Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.

Psychosomatic medicine

Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
PMID: 29280852
Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555.

OBJECTIVE: Shared genetic background may explain phenotypic associations between depression and Type 2 diabetes (T2D). We aimed to study, on a genome-wide level, if genetic correlation and pleiotropic loci exist between depressive symptoms and T2D or glycemic traits.METHODS: We...

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Haljas K, Amare AT, Alizadeh BZ, et al. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018;80(3):242-251doi: 10.1097/PSY.0000000000000555.
Haljas, K., Amare, A. T., Alizadeh, B. Z., Hsu, Y. H., Mosley, T., Newman, A., Murabito, J., Tiemeier, H., Tanaka, T., van Duijn, C., Ding, J., Llewellyn, D. J., Bennett, D. A., Terracciano, A., Launer, L., Ladwig, K. H., Cornelis, M. C., Teumer, A., Grabe, H., Kardia, S. L. R., Ware, E. B., Smith, J. A., Snieder, H., Eriksson, J. G., Groop, L., Räikkönen, K., & Lahti, J. (2018). Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosomatic medicine, 80(3), 242-251. https://doi.org/10.1097/PSY.0000000000000555
Haljas, Kadri, et al. "Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits." Psychosomatic medicine vol. 80,3 (2018): 242-251. doi: https://doi.org/10.1097/PSY.0000000000000555
Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits. Psychosom Med. 2018 Apr;80(3):242-251. doi: 10.1097/PSY.0000000000000555. PMID: 29280852; PMCID: PMC6051528.
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Alzheimer's loci: epigenetic associations and interaction with genetic factors.

Annals of clinical and translational neurology

Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL.
PMID: 26125039
Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24.

OBJECTIVE: We explore the role of DNA methylation in Alzheimer's disease (AD). To elucidate where DNA methylation falls along the causal pathway linking risk factors to disease, we examine causal models to assess its role in the pathology of...

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Chibnik LB, Yu L, Eaton ML, et al. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015;2(6):636-47doi: 10.1002/acn3.201.
Chibnik, L. B., Yu, L., Eaton, M. L., Srivastava, G., Schneider, J. A., Kellis, M., Bennett, D. A., & De Jager, P. L. (2015). Alzheimer's loci: epigenetic associations and interaction with genetic factors. Annals of clinical and translational neurology, 2(6), 636-47. https://doi.org/10.1002/acn3.201
Chibnik, Lori B, et al. "Alzheimer's loci: epigenetic associations and interaction with genetic factors." Annals of clinical and translational neurology vol. 2,6 (2015): 636-47. doi: https://doi.org/10.1002/acn3.201
Chibnik LB, Yu L, Eaton ML, Srivastava G, Schneider JA, Kellis M, Bennett DA, De Jager PL. Alzheimer's loci: epigenetic associations and interaction with genetic factors. Ann Clin Transl Neurol. 2015 Jun;2(6):636-47. doi: 10.1002/acn3.201. Epub 2015 Apr 24. PMID: 26125039; PMCID: PMC4479524.
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Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia.

NPJ genomic medicine

Wingo TS, Yang J, Fan W, Min Canon S, Gerasimov ES, Lori A, Logsdon B, Yao B, Seyfried NT, Lah JJ, Levey AI, Boyle PA, Schneider JA, De Jager PL, Bennett DA, Wingo AP.
PMID: 32047652
NPJ Genom Med. 2020 Feb 06;5:6. doi: 10.1038/s41525-019-0113-8. eCollection 2020.

Late-life depression is associated with an increased risk for dementia but we have limited knowledge of the molecular mechanisms underlying this association. Here we investigated whether brain microRNAs, important posttranscriptional regulators of gene expression, contribute to this association. Late-life...

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Wingo TS, Yang J, Fan W, et al. Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia. NPJ Genom Med. 2020;5:6doi: 10.1038/s41525-019-0113-8.
Wingo, T. S., Yang, J., Fan, W., Min Canon, S., Gerasimov, E. S., Lori, A., Logsdon, B., Yao, B., Seyfried, N. T., Lah, J. J., Levey, A. I., Boyle, P. A., Schneider, J. A., De Jager, P. L., Bennett, D. A., & Wingo, A. P. (2020). Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia. NPJ genomic medicine, 56. https://doi.org/10.1038/s41525-019-0113-8
Wingo, Thomas S, et al. "Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia." NPJ genomic medicine vol. 5 (2020): 6. doi: https://doi.org/10.1038/s41525-019-0113-8
Wingo TS, Yang J, Fan W, Min Canon S, Gerasimov ES, Lori A, Logsdon B, Yao B, Seyfried NT, Lah JJ, Levey AI, Boyle PA, Schneider JA, De Jager PL, Bennett DA, Wingo AP. Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia. NPJ Genom Med. 2020 Feb 06;5:6. doi: 10.1038/s41525-019-0113-8. eCollection 2020. PMID: 32047652; PMCID: PMC7004995.
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How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?.

Brain sciences

Wilson RS, Bennett DA.
PMID: 28545247
Brain Sci. 2017 May 23;7(6). doi: 10.3390/brainsci7060056.

With the aging of the U.S. population, the number of cognitively disabled persons is expected to substantially increase in coming decades, underscoring the urgent need for effective interventions. Here, we review the current evidence linking psychosocial factors to late-life...

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Wilson RS, Bennett DA. How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?. Brain Sci. 2017;7(6)doi: 10.3390/brainsci7060056.
Wilson, R. S., & Bennett, D. A. (2017). How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?. Brain sciences, 7(6), . https://doi.org/10.3390/brainsci7060056
Wilson, Robert S, and Bennett, David A. "How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?." Brain sciences vol. 7,6 (2017). doi: https://doi.org/10.3390/brainsci7060056
Wilson RS, Bennett DA. How Does Psychosocial Behavior Contribute to Cognitive Health in Old Age?. Brain Sci. 2017 May 23;7(6). doi: 10.3390/brainsci7060056. PMID: 28545247; PMCID: PMC5483629.
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Role of Retinoid X Receptors (RXRs) and dietary vitamin A in Alzheimer's disease: Evidence from clinicopathological and preclinical studies.

Neurobiology of disease

Biyong EF, Tremblay C, Leclerc M, Caron V, Alfos S, Helbling JC, Rodriguez L, Pernet V, Bennett DA, Pallet V, Calon F.
PMID: 34737043
Neurobiol Dis. 2021 Dec;161:105542. doi: 10.1016/j.nbd.2021.105542. Epub 2021 Nov 01.

BACKGROUND: Vitamin A (VitA), via its active metabolite retinoic acid (RA), is critical for the maintenance of memory function with advancing age. Although its role in Alzheimer's disease (AD) is not well understood, data suggest that impaired brain VitA...

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Biyong EF, Tremblay C, Leclerc M, et al. Role of Retinoid X Receptors (RXRs) and dietary vitamin A in Alzheimer's disease: Evidence from clinicopathological and preclinical studies. Neurobiol Dis. 2021;161:105542doi: 10.1016/j.nbd.2021.105542.
Biyong, E. F., Tremblay, C., Leclerc, M., Caron, V., Alfos, S., Helbling, J. C., Rodriguez, L., Pernet, V., Bennett, D. A., Pallet, V., & Calon, F. (2021). Role of Retinoid X Receptors (RXRs) and dietary vitamin A in Alzheimer's disease: Evidence from clinicopathological and preclinical studies. Neurobiology of disease, 161105542. https://doi.org/10.1016/j.nbd.2021.105542
Biyong, Essi F, et al. "Role of Retinoid X Receptors (RXRs) and dietary vitamin A in Alzheimer's disease: Evidence from clinicopathological and preclinical studies." Neurobiology of disease vol. 161 (2021): 105542. doi: https://doi.org/10.1016/j.nbd.2021.105542
Biyong EF, Tremblay C, Leclerc M, Caron V, Alfos S, Helbling JC, Rodriguez L, Pernet V, Bennett DA, Pallet V, Calon F. Role of Retinoid X Receptors (RXRs) and dietary vitamin A in Alzheimer's disease: Evidence from clinicopathological and preclinical studies. Neurobiol Dis. 2021 Dec;161:105542. doi: 10.1016/j.nbd.2021.105542. Epub 2021 Nov 01. PMID: 34737043; PMCID: PMC8649044.
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[No title available]

Neurology. Genetics

Benedet AL, Yu L, Labbe A, Mathotaarachchi S, Pascoal TA, Shin M, Kang MS, Gauthier S, Rouleau GA, Poirier J, Bennett DA, Rosa-Neto P.
PMID: 29473050
Neurol Genet. 2018 Jan 30;4(1):e216. doi: 10.1212/NXG.0000000000000216. eCollection 2018 Feb.

OBJECTIVE: To verify whether METHODS: A candidate-gene approach tested the association between 5 genes (28 single nucleotide polymorphisms) and Aβ load measured in vivo by the global [RESULTS: Analysis of Aβ PET identified a variant in the CONCLUSIONS: Together,...

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Benedet AL, Yu L, Labbe A, et al. . Neurol Genet. 2018;4(1):e216doi: 10.1212/NXG.0000000000000216.
Benedet, A. L., Yu, L., Labbe, A., Mathotaarachchi, S., Pascoal, T. A., Shin, M., Kang, M. S., Gauthier, S., Rouleau, G. A., Poirier, J., Bennett, D. A., Rosa-Neto, P. (2018). . Neurology. Genetics, 4(1), e216. https://doi.org/10.1212/NXG.0000000000000216
Benedet, Andréa L, et al. "." Neurology. Genetics vol. 4,1 (2018): e216. doi: https://doi.org/10.1212/NXG.0000000000000216
Benedet AL, Yu L, Labbe A, Mathotaarachchi S, Pascoal TA, Shin M, Kang MS, Gauthier S, Rouleau GA, Poirier J, Bennett DA, Rosa-Neto P. . Neurol Genet. 2018 Jan 30;4(1):e216. doi: 10.1212/NXG.0000000000000216. eCollection 2018 Feb. PMID: 29473050; PMCID: PMC5820598.
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Ultra-rare mutations in .

Neurology. Genetics

Vardarajan BN, Tosto G, Lefort R, Yu L, Bennett DA, De Jager PL, Barral S, Reyes-Dumeyer D, Nagy PL, Lee JH, Cheng R, Medrano M, Lantigua R, Rogaeva E, St George-Hyslop P, Mayeux R.
PMID: 28852706
Neurol Genet. 2017 Aug 24;3(5):e178. doi: 10.1212/NXG.0000000000000178. eCollection 2017 Oct.

OBJECTIVE: To identify rare coding variants segregating with late-onset Alzheimer disease (LOAD) in Caribbean Hispanic families.METHODS: Whole-exome sequencing (WES) was completed in 110 individuals from 31 Caribbean Hispanic families without RESULTS: Ten ultra-rare missense mutations in the Snf2-related CONCLUSIONS:...

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Vardarajan BN, Tosto G, Lefort R, et al. Ultra-rare mutations in . Neurol Genet. 2017;3(5):e178doi: 10.1212/NXG.0000000000000178.
Vardarajan, B. N., Tosto, G., Lefort, R., Yu, L., Bennett, D. A., De Jager, P. L., Barral, S., Reyes-Dumeyer, D., Nagy, P. L., Lee, J. H., Cheng, R., Medrano, M., Lantigua, R., Rogaeva, E., St George-Hyslop, P., & Mayeux, R. (2017). Ultra-rare mutations in . Neurology. Genetics, 3(5), e178. https://doi.org/10.1212/NXG.0000000000000178
Vardarajan, Badri N, et al. "Ultra-rare mutations in ." Neurology. Genetics vol. 3,5 (2017): e178. doi: https://doi.org/10.1212/NXG.0000000000000178
Vardarajan BN, Tosto G, Lefort R, Yu L, Bennett DA, De Jager PL, Barral S, Reyes-Dumeyer D, Nagy PL, Lee JH, Cheng R, Medrano M, Lantigua R, Rogaeva E, St George-Hyslop P, Mayeux R. Ultra-rare mutations in . Neurol Genet. 2017 Aug 24;3(5):e178. doi: 10.1212/NXG.0000000000000178. eCollection 2017 Oct. PMID: 28852706; PMCID: PMC5570674.
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Genetic architecture of age-related cognitive decline in African Americans.

Neurology. Genetics

Raj T, Chibnik LB, McCabe C, Wong A, Replogle JM, Yu L, Gao S, Unverzagt FW, Stranger B, Murrell J, Barnes L, Hendrie HC, Foroud T, Krichevsky A, Bennett DA, Hall KS, Evans DA, De Jager PL.
PMID: 28078323
Neurol Genet. 2016 Dec 21;3(1):e125. doi: 10.1212/NXG.0000000000000125. eCollection 2017 Feb.

OBJECTIVE: To identify genetic risk factors associated with susceptibility to age-related cognitive decline in African Americans (AAs).METHODS: We performed a genome-wide association study (GWAS) and an admixture-mapping scan in 3,964 older AAs from 5 longitudinal cohorts; for each participant,...

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Raj T, Chibnik LB, McCabe C, et al. Genetic architecture of age-related cognitive decline in African Americans. Neurol Genet. 2016;3(1):e125doi: 10.1212/NXG.0000000000000125.
Raj, T., Chibnik, L. B., McCabe, C., Wong, A., Replogle, J. M., Yu, L., Gao, S., Unverzagt, F. W., Stranger, B., Murrell, J., Barnes, L., Hendrie, H. C., Foroud, T., Krichevsky, A., Bennett, D. A., Hall, K. S., Evans, D. A., & De Jager, P. L. (2017). Genetic architecture of age-related cognitive decline in African Americans. Neurology. Genetics, 3(1), e125. https://doi.org/10.1212/NXG.0000000000000125
Raj, Towfique, et al. "Genetic architecture of age-related cognitive decline in African Americans." Neurology. Genetics vol. 3,1 (2017): e125. doi: https://doi.org/10.1212/NXG.0000000000000125
Raj T, Chibnik LB, McCabe C, Wong A, Replogle JM, Yu L, Gao S, Unverzagt FW, Stranger B, Murrell J, Barnes L, Hendrie HC, Foroud T, Krichevsky A, Bennett DA, Hall KS, Evans DA, De Jager PL. Genetic architecture of age-related cognitive decline in African Americans. Neurol Genet. 2016 Dec 21;3(1):e125. doi: 10.1212/NXG.0000000000000125. eCollection 2017 Feb. PMID: 28078323; PMCID: PMC5206965.
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Specific serum antibody binding to phosphorylated and non-phosphorylated tau in non-cognitively impaired, mildly cognitively impaired, and Alzheimer's disease subjects: an exploratory study.

Translational neurodegeneration

Klaver AC, Coffey MP, Bennett DA, Loeffler DA.
PMID: 29204273
Transl Neurodegener. 2017 Nov 24;6:32. doi: 10.1186/s40035-017-0100-x. eCollection 2017.

BACKGROUND: Tau vaccination and administration of anti-tau antibodies can prevent pathology and cognitive impairment in transgenic mouse models of tauopathy, suggesting that therapies which increase anti-tau antibodies might slow the development and/or progression of Alzheimer's disease (AD). The extent...

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Klaver AC, Coffey MP, Bennett DA, et al. Specific serum antibody binding to phosphorylated and non-phosphorylated tau in non-cognitively impaired, mildly cognitively impaired, and Alzheimer's disease subjects: an exploratory study. Transl Neurodegener. 2017;6:32doi: 10.1186/s40035-017-0100-x.
Klaver, A. C., Coffey, M. P., Bennett, D. A., & Loeffler, D. A. (2017). Specific serum antibody binding to phosphorylated and non-phosphorylated tau in non-cognitively impaired, mildly cognitively impaired, and Alzheimer's disease subjects: an exploratory study. Translational neurodegeneration, 632. https://doi.org/10.1186/s40035-017-0100-x
Klaver, Andrea C, et al. "Specific serum antibody binding to phosphorylated and non-phosphorylated tau in non-cognitively impaired, mildly cognitively impaired, and Alzheimer's disease subjects: an exploratory study." Translational neurodegeneration vol. 6 (2017): 32. doi: https://doi.org/10.1186/s40035-017-0100-x
Klaver AC, Coffey MP, Bennett DA, Loeffler DA. Specific serum antibody binding to phosphorylated and non-phosphorylated tau in non-cognitively impaired, mildly cognitively impaired, and Alzheimer's disease subjects: an exploratory study. Transl Neurodegener. 2017 Nov 24;6:32. doi: 10.1186/s40035-017-0100-x. eCollection 2017. PMID: 29204273; PMCID: PMC5701435.
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[No title available]

Neurology. Genetics

Yang HS, White CC, Chibnik LB, Klein HU, Schneider JA, Bennett DA, De Jager PL.
PMID: 28761931
Neurol Genet. 2017 Jul 18;3(4):e176. doi: 10.1212/NXG.0000000000000176. eCollection 2017 Aug.

OBJECTIVE: To determine whether common genetic variants in METHODS: We used data from deceased individuals of European descent who participated in the Religious Orders Study or the Rush Memory and Aging Project (n = 1,288). We examined whether there...

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Yang HS, White CC, Chibnik LB, et al. . Neurol Genet. 2017;3(4):e176doi: 10.1212/NXG.0000000000000176.
Yang, H. S., White, C. C., Chibnik, L. B., Klein, H. U., Schneider, J. A., Bennett, D. A., & De Jager, P. L. (2017). . Neurology. Genetics, 3(4), e176. https://doi.org/10.1212/NXG.0000000000000176
Yang, Hyun-Sik, et al. "." Neurology. Genetics vol. 3,4 (2017): e176. doi: https://doi.org/10.1212/NXG.0000000000000176
Yang HS, White CC, Chibnik LB, Klein HU, Schneider JA, Bennett DA, De Jager PL. . Neurol Genet. 2017 Jul 18;3(4):e176. doi: 10.1212/NXG.0000000000000176. eCollection 2017 Aug. PMID: 28761931; PMCID: PMC5515600.
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Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis.

Frontiers in genetics

Jiao R, Lin N, Hu Z, Bennett DA, Jin L, Xiong M.
PMID: 30233639
Front Genet. 2018 Aug 31;9:347. doi: 10.3389/fgene.2018.00347. eCollection 2018.

The mainstream of research in genetics, epigenetics, and imaging data analysis focuses on statistical association or exploring statistical dependence between variables. Despite their significant progresses in genetic research, understanding the etiology and mechanism of complex phenotypes remains elusive. Using...

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Jiao R, Lin N, Hu Z, et al. Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis. Front Genet. 2018;9:347doi: 10.3389/fgene.2018.00347.
Jiao, R., Lin, N., Hu, Z., Bennett, D. A., Jin, L., & Xiong, M. (2018). Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis. Frontiers in genetics, 9347. https://doi.org/10.3389/fgene.2018.00347
Jiao, Rong, et al. "Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis." Frontiers in genetics vol. 9 (2018): 347. doi: https://doi.org/10.3389/fgene.2018.00347
Jiao R, Lin N, Hu Z, Bennett DA, Jin L, Xiong M. Bivariate Causal Discovery and Its Applications to Gene Expression and Imaging Data Analysis. Front Genet. 2018 Aug 31;9:347. doi: 10.3389/fgene.2018.00347. eCollection 2018. PMID: 30233639; PMCID: PMC6127271.
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